AI Solution Engineer

AI Solution Engineer

  

This role has been designated as ‘Remote/Teleworker’, which means you will primarily work from home.

Job Description:

   

Please note: this role can be hired from any US location.

As an AI Solution Engineer your role will be to architect, build, and deliver AI solutions in the form of demos and proof-of-concepts for customers during the pre-sales stage of customer engagements. These solutions will include a combination of hardware, software and services that aim to deliver an AI outcome in pursuit of a sales opportunity. Given the broad range of options available for each level of the solution stack, you will be expected to have an understanding of the most popular options and capabilities to make the appropriate recommendations based on prospects' use cases and expected outcomes. You will be working closely with HPE Sales, Architects, and Partners to solution and implement proof-of-concepts that can not only be used as prototypes during pre-sales but also expandable to production deployments post-sales.

                                                                                                                                   

In a typical day as an AI Solution Engineer, your responsibilities would include:

• Lead technical discussions with prospects and partners to propose HPE and partner Integrated solutions that address business challenges and opportunities using AI.

• Demo AI solutions (either existing or built by you) to prospects that address their use cases or desired AI outcomes.

• Lead Proof-of-Concepts / Proof-of-Value engagements for HPE prospects that demonstrate clear value from HPE's AI offerings, likely in combination with 3rd Party and Open Source components.

• Assist in any product or technical issue towards an initial sale or renewal of a customer.

• Help enable prospects, partners, and internal HPE teams on HPE's value in the AI landscape and how HPE and partner solutions can help solve real world business problems.

Your profile:

• Bachelor's, Master's or other Advanced degree in Engineering, Computer Science, or similar quantitative focus.

• 4 years + experience working with Machine Learning or Deep Learning.

• Experience working with Kubernetes.

• Competency working with the latest LLM frameworks, both Open Source (e.g. LangChain, LllamaIndex) and proprietary (e.g. NVIDIA NeMo/NIM).

• Competency writing ML code (for example, using PyTorch).

• Experience with Python, Unix-like systems.

• Ability to quickly prototype functionality into scripts for demos, integrations, troubleshooting, etc.

• Understanding of hardware requirements associated with deep learning model training or inference, and how model attributes and performance factors affect it.

• Knowledge of current AI landscape, including popular models, frameworks, applications, and capabilities.

• Experience working with on-premise hardware / GPU clusters.

• Strong communicator, presenter and technologist evangelist.

• Curiosity/interest in continuous learning to stay at the forefront of challenges which can be addressed through AI.

Artificial Intelligence Technologies, Cross Domain Knowledge, Data Engineering, Data Science, Design Thinking, Development Fundamentals, Full Stack Development, IT Performance, Machine Learning Operations, Scalability Testing, Security-First Mindset

Health & Wellbeing

We strive to provide our team members and their loved ones with a comprehensive suite of benefits that supports their physical, financial and emotional wellbeing.

Personal & Professional Development

We also invest in your career because the better you are, the better we all are. We have specific programs catered to helping you reach any career goals you have — whether you want to become a knowledge expert in your field or apply your skills to another division.

Unconditional Inclusion

We are unconditionally inclusive in the way we work and celebrate individual uniqueness. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good.

#unitedstates#globalIT

Job:

Engineering

Job Level:

TCP_05

    

"The expected salary/wage range for this position is provided below. Actual offer may vary from this range based upon geographic location, work experience, education/training, and/or skill level.
– United States of America: Annual Salary USD 172,000 - 349,000 in California & New York // 152,000 - 349,000 in Maryland & North Carolina & Oregon & Texas & Washington
The listed salary range reflects base salary. Variable incentives may also be offered."

Information about employee benefits offered in the US can be found at https://myhperewards.com/main/new-hire-enrollment.html

Hewlett Packard Enterprise is EEO Protected Veteran/ Individual with Disabilities.

   

HPE will comply with all applicable laws related to employer use of arrest and conviction records, including laws requiring employers to consider for employment qualified applicants with criminal histories.

   

No Fees Notice & Recruitment Fraud Disclaimer

 

It has come to HPE’s attention that there has been an increase in recruitment fraud whereby scammer impersonate HPE or HPE-authorized recruiting agencies and offer fake employment opportunities to candidates.  These scammers often seek to obtain personal information or money from candidates.

 

Please note that Hewlett Packard Enterprise (HPE), its direct and indirect subsidiaries and affiliated companies, and its authorized recruitment agencies/vendors will never charge any candidate a registration fee, hiring fee, or any other fee in connection with its recruitment and hiring process.  The credentials of any hiring agency that claims to be working with HPE for recruitment of talent should be verified by candidates and candidates shall be solely responsible to conduct such verification. Any candidate/individual who relies on the erroneous representations made by fraudulent employment agencies does so at their own risk, and HPE disclaims liability for any damages or claims that may result from any such communication.